Internal medicine attendings and residents are invited to participate in a study investigating how physicians using a RAG-based LLM (OpenEvidence) perform compared to those using a standard general-purpose LLM (ChatGPT) on both diagnostic reasoning and complex management decisions. As AI tools increasingly enter clinical practice, evidence is needed about which approaches best support physician decision-making. This study will help determine if specialized medical knowledge retrieval systems (OpenEvidence) provide advantages over general AI assistants (ChatGPT) when solving real clinical cases.
Participants will complete one 90-minute Zoom session where clinical cases derived from real, de-identified patient encounters will be solved. Participants will be randomly assigned to use either OpenEvidence or ChatGPT and all responses evaluated by blinded scorers using a validated rubric.
